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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 75  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IA, SITE, IPSJ-IOT [detail] 2022-03-08
15:45
Kyoto Kyoto University, Yoshida Campus
(Primary: On-site, Secondary: Online)
Dynamic Content Deployment Method Using Content Demand Prediction in Peer-to-Peer Network with Cloud Storage
Kazumasa Takahashi, Shinji Sugawara (Chiba Inst. Tech.) SITE2021-63 IA2021-76
In recent years, various contents such as documents, music, and movies are actively exchanged among users on the network... [more] SITE2021-63 IA2021-76
pp.101-106
NS, NWS
(Joint)
2022-01-28
10:50
Online Online [Encouragement Talk] Degree Based Vertex Replication Method for Random Walk in Autonomous Distributed Graphs
Ozaki Yoichi, Kaneko Kunitake (Keio Univ.) NS2021-116
In autonomously distributed graphs, the vertex set placed on a server does not always follow the community structure of ... [more] NS2021-116
pp.36-41
NS, NWS
(Joint)
2022-01-28
11:40
Online Online A Note on Caching Algorithm for Dynamic Mobile Social Networks
Takeshi Kitamura, Kazuya Sakai (TMU) NS2021-118
In the mobile social networks, several algorithms for choosing caching nodes are proposed in order to achieve fast data ... [more] NS2021-118
pp.46-49
RCS, NS
(Joint)
2021-12-17
10:35
Nara Nara-ken Bunka Kaikan and Online
(Primary: On-site, Secondary: Online)
Proposal of Network Digital Replica
kyota hattori, tomohiro korikawa, chikako takasaki, hidenari oowada, masafumi shimizu, naoki takaya (NTT) NS2021-104
Future network infrastructures will need to provide network services safely and rapidly under complex conditions such as... [more] NS2021-104
pp.41-46
NC, MBE
(Joint)
2020-03-06
11:10
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
The Analysis of Associative Memory with Discrete Synapses
Ryuta Sasaki, Toru Aonishi (Tokyo Tech) NC2019-108
Recently, as the increasing needs of the development of high-speed Ising computing specific hardware, it has been requir... [more] NC2019-108
pp.187-192
CPSY, DC, IPSJ-ARC [detail] 2019-07-26
18:30
Hokkaido Kitami Civic Hall Exhaustive Replica Deployment Evaluation in Geographic State Machine Replication using a Customizable Evaluation Function
Shota Numakura, Junya Nakamura, Ren Ohmura (TUT) CPSY2019-40 DC2019-40
Geographic state machine replication (SMR) is a replication method in which replicas of a service are located on multipl... [more] CPSY2019-40 DC2019-40
pp.241-246
IT, ISEC, WBS 2019-03-08
10:15
Tokyo University of Electro-Communications Typical performance of the L1 regularization regression from linear measurements with measurement noise and large coherence
Minori Ihara, Kazunori Iwata, Kazushi Mimura (Hiroshima City Univ.) IT2018-117 ISEC2018-123 WBS2018-118
We evaluate typical performance of compressed sensing in the case where iterative recovery algorithms fail to converge. ... [more] IT2018-117 ISEC2018-123 WBS2018-118
pp.257-262
IN, NS
(Joint)
2019-03-05
09:00
Okinawa Okinawa Convention Center Multipoint high-speed transfer experiment using big data of fusion experiment device LHD
Kenjiro Yamanaka (Sokendai/NII), Hideya Nakanishi (NIFS), Takahisa Ozeki, Shinsuke Tokunaga, Yasutomo Ishii (QST), Shunji Abe, Shigeo Urushidani (Sokendai/NII), Takashi Yamamoto, Masahiko Emoto (NIFS) NS2018-233
In the advanced science and technology field, we often make huge experiment / observation equipment with international c... [more] NS2018-233
pp.237-242
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2018-07-30
10:45
Kumamoto Kumamoto City International Center Region Selection Method for Geographical State Machine Replication on Public Clouds
Shota Numakura, Junya Nakamura, Ren Ohmura (TUT) DC2018-14
State Machine Replication (SMR) is a replication method that improves fault tolerance of a general service. Geographical... [more] DC2018-14
pp.7-12
CQ, CS
(Joint)
2018-04-20
15:30
Hiroshima Hiroshima Institute of Technology Characteristic analysis of two types of flows admission control using Replicator Dynamics
Hiroshi Shibayama, Sumiko Miyata (SIT) CS2018-9
Call admission control has been proposed to maximize satisfaction of users, when the each user requests different bandwi... [more] CS2018-9
pp.47-52
KBSE 2017-09-19
12:35
Tokyo Doshisha Univ. Tokyo Branch Office A load balancing mechanism using shared state for tree processing in actor model
Kouhei Sakurai (Kanazawa Univ.) KBSE2017-21
For machine learning and data mining, there are methods that deal with tree structure, and also their parallelization an... [more] KBSE2017-21
pp.1-6
MoNA, ASN, IPSJ-MBL, IPSJ-UBI [detail] 2017-03-09
16:25
Tokyo University of Tokyo (Hongo Campus) Efficient Reference Range for File Splitting and Allocation in Hybrid Peer-to-Peer Content Sharing Networks
Yu Fujita, Shinji Sugawara (ChibaTech) MoNA2016-40
Recently, a variety of digital contents are shared by a lot of network users using Peer-to-Peer (P2P) communication syst... [more] MoNA2016-40
pp.179-184
MSS, CAS, IPSJ-AL [detail] 2016-11-25
14:10
Hyogo Kobe Institute of Computing Subsidy-based Stabilization of Nonequilibrium Target State in Population Games with Unknown Payoff Functions
Masaya Kinoshita, Takafumi Kanazawa (Osaka Univ.) CAS2016-76 MSS2016-56
In populations that consist of many selfish players, a desirable state for populations may not be realized.In order to r... [more] CAS2016-76 MSS2016-56
pp.113-116
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. An Exhaustive Search with Support Vector Machine (ES-SVM) for sparse variable selection
Daiki Kawabata (UTokyo), Hiroko Ichikawa (TUS), Yasuhiko Igarashi (UTokyo), Kenji Nagata (AIST/JST/UTokyo), Satoshi Eifuku, Ryoi Tamura (Toyama Univ.), Masato Okada (UTokyo) IBISML2016-96
Nagata et al.(2015) has proposed Exhaustive Search with Support Vector Machine(ES-SVM) which calculates a cross validati... [more] IBISML2016-96
pp.361-368
MRIS, ITE-MMS 2016-06-10
09:25
Miyagi Tohoku Univ. Evaluation of Number of Data Replicas for Urban-area Distributed Storage System Using Hazard Map Information
Takaki Nakamura (Tohoku Univ.), Satoshi Munakata, Kunio Saito, Jyunko Miyazaki (HSEJ), Shinya Matsumoto, Hitoshi Kamei (Hitachi), Hiroaki Muraoka (Tohoku Univ.) MR2016-8
We have proposed the urban-area distributed storage system and the risk-aware data replication to sustain information se... [more] MR2016-8
pp.53-58
MSS, CAS, SIP, VLD 2015-06-18
09:20
Hokkaido Otaru University of Commerce Stabilization of Nonequilibrium Target State in Population Games Using Capitation Tax and Subsidy
Masaya Kinoshita, Takafumi Kanazawa (Osaka Univ.) CAS2015-13 VLD2015-20 SIP2015-44 MSS2015-13
In a large population which consists of many selfish players, their selfish strategy selection may lead an undesirable p... [more] CAS2015-13 VLD2015-20 SIP2015-44 MSS2015-13
pp.67-70
NC, MBE 2015-03-17
13:00
Tokyo Tamagawa University Latent dynamics estimation from time-series spectral data
Shin Murata, Kenji Nagata (Univ. of Tokyo), Makoto Uemura (Hiroshima Univ.), Masato Okada (Univ. of Tokyo/RIKEN) MBE2014-173 NC2014-124
Estimation of latent dynamics from time-series data is important problem in a broad range of fields. In this research, w... [more] MBE2014-173 NC2014-124
pp.319-324
NS, IN
(Joint)
2015-03-03
10:50
Okinawa Okinawa Convention Center Effects of Cache Replacement Methods for Content Search Hit Rate and Load Balancing in P2P Networks
Ryo Suzuki, Taiju Mikoshi, Toyofumi Takenaka (Nihon Univ) NS2014-227
Unstructured P2P Networks have the property that the number of degree and popularity of content obeys a power low.Theref... [more] NS2014-227
pp.291-294
MBE, NC
(Joint)
2014-11-21
11:50
Miyagi Tohoku University Hyper-parameter estimation for compressive sensing with a Bernoulli-Gauss prior distribution
Toshiyuki Watanabe, Jun-ichi Inoue (Hokkaido Univ.) NC2014-28
Compressive sensing is a theory that estimates sparse
information signals which has few non-zero elements
from less ... [more]
NC2014-28
pp.15-20
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Statistical mechanical analysis of lossy compression by overcomplete basis
Yoshinori Nakanishi-Ohno (Univ. Tokyo), Tomoyuki Obuchi (Tokyo Tech), Masato Okada (Univ. Tokyo), Yoshiyuki Kabashima (Tokyo Tech) IBISML2014-50
Information processing using the sparsity of information has been actively studied such as compressed sensing.
In this ... [more]
IBISML2014-50
pp.119-126
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